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Petronas Strengthens Partnerships for Sabah Oil and Gas Developments

Petroliam Nasional Berhad (Petronas) has formalized several key agreements with the Sabah government, focusing on the responsible development of the state’s energy resources. Petronas said in a media release the event marked a significant milestone in Sabah’s energy growth with the official handover of the Sabah Gas Strategy, a project led jointly by Petronas and […]

Petroliam Nasional Berhad (Petronas) has formalized several key agreements with the Sabah government, focusing on the responsible development of the state’s energy resources.

Petronas said in a media release the event marked a significant milestone in Sabah’s energy growth with the official handover of the Sabah Gas Strategy, a project led jointly by Petronas and the state government. Guided by the Sabah Joint Coordination Committee, the strategy was crafted by a Joint Task Force including Petronas, SMJ Energy Sdn. Bhd., Sabah Energy Corp. Sdn. Bhd., the Energy Commission of Sabah, and the Ministry of Industrial Development and Entrepreneurship.

Petronas added that the partnerships build on the Commercial Collaboration Agreement it signed with the state government in 2021. This agreement is a blueprint for securing a reliable natural gas supply for the state’s domestic demand, Petronas said.

Additionally, Petronas said that it has entered into a Technical Evaluation Agreement concerning the Layang-Layang Basin off the coast of Sabah, a frontier basin covering roughly 44,500 square kilometers (17,180 square miles). The TEA, which was established with ConocoPhillips Malaysia New Ventures Ltd. and Pertamina Hulu Energi (Pertamina), facilitates subsurface research, which includes regional geological evaluations and in-depth prospectivity assessments, according to Petronas.

To further strengthen exploration and production cooperation, Petronas formalized a Memorandum of Understanding (MoU) with Dialog Resources Sdn. Bhd. (DIALOG) to advance the development of the Mutiara Cluster off Sabah’s East Coast.

Under the Malaysia Bid Round 2025, the Mutiara Cluster Small Field Asset Production Sharing Contract was awarded to Dialog in June. This cluster provides an opportunity to monetize discovered resources through a cost-effective, optimized development plan that leverages existing materials and equipment, using past insights to accelerate start-up, Petronas said.

As part of its initiatives to improve basin understanding and unlock future growth opportunities for Malaysia’s production, Petronas added that it is investing in seismic data acquisition programs, including in Sabah’s East Coast area.

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US lets China buy semiconductor design software again

The reversal marks a dramatic shift from the aggressive stance the Trump administration took in May, when it imposed sweeping restrictions on electronic design automation (EDA) software — the critical tools needed to design advanced semiconductors.  A short-lived stoppage  The restrictions had targeted what analysts called the “upstream” of chip

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Hardcoded root credentials in Cisco Unified CM trigger max-severity alert

The affected products-Cisco Unified CM and Unified CM SME–are core components of enterprise telephony infrastructure, widely deployed across government agencies, financial institutions, and large corporations to manage voice, video, and messaging at scale. A flaw in these systems could allow attackers to compromise an organization’s communications, letting them log in

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United Energy LNG, Power LNG Merge to Scale Up Modular Infrastructure

United Energy LNG and Power LNG signed Monday a merger agreement to form “a scalable small-scale LNG platform serving industrial, power, and transport markets across North America”. United Energy LNG will survive as the expanded entity, immediately overseeing three liquefied natural gas (LNG) production sites in “advanced stages of development”, a joint statement said. The projects have an estimated capital of $240-270 million. Concurrently United Energy LNG announced the start of the first phase of front-end loading (FEL-1), or early planning work, for the first project site, in Houston, Texas. It said the second project is “underway” in a confidential location while the third site, in Independence, Kansas, is scheduled to begin FEL-1 this month. United Energy LNG plans to achieve financial close on the projects by the first quarter of 2026. It expects to commission the projects by the first quarter of 2027. “The company is actively engaging with feedgas suppliers, utilities, and logistics providers to build out a nationwide virtual LNG delivery network”, the statement said. “The company estimates that its addressable domestic market exceeds 2 billion cubic feet equivalent annually, representing a $3+ billion opportunity in underserved power, transport, and industrial sectors”. The combined entity targets a liquefaction capacity of “up to 540,000 MTPA at full deployment”, the companies said. “While the majors are focused on megaprojects, we’re deploying modular, nimble solutions that get LNG to the people and industries who need it now”, said United Energy LNG chief executive Brian Guinn. Power LNG chief executive Austin Terry said, “This merger represents the alignment of speed, innovation, and execution. By combining our development and operational expertise with United Energy’s capital platform, we’re unlocking a scalable model for delivering LNG where it’s needed most”. The companies said, “Unlike traditional LNG developments requiring multi-billion-dollar investments and long permitting timelines,

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NW Natural Holdings Adds Two Board Members

Natural gas and water utility NW Natural Holding Co. (NW Natural Holdings) and its subsidiary Northwest Natural Gas Co. (NW Natural) have appointed the chief of a construction firm and a sportswear executive as directors. Peter Bragdon, executive vice president, chief administrative officer and general counsel of Columbia Sportswear Co., will serve as an independent director at Portland, Oregon-based NW Natural Holdings effective July 12. NW Natural also named Bragdon to its board of directors from the same date, as well as Hoffman Construction Co. president and chief executive Dave Drinkward effective June 30. “They are both leaders at respected, industry-leading companies and their insights will be invaluable as the company continues to grow”, NW Natural Holdings board chair Malia H. Wasson said in an online statement. “We greatly value both Peter and Dave’s contributions to our local Pacific Northwest community, which is in line with NW Natural’s core values”. Bragdon has served in his current roles at Columbia since 2015. Previously he served as chief of staff at Oregon’s gubernatorial office from January 2003 to June 2004. Currently Bragdon serves as board chair at the Oregon Community Foundation. He also serves on the boards of the World Federation of the Sporting Goods Industry and the Footwear Distributors and Retailers of America, as well as the board of trustees of Reed College. Bragdon received a Juris Doctorate from Stanford Law School, a Master of Studies in Law degree from Yale Law School and a Bachelor of Arts (BA) degree from Amherst College, according to NW Natural Holdings. Drinkward has held his current positions at Hoffman since November 2018. Drinkward also serves on the boards of several organizations including the ACE Mentor Program of America, Meals on Wheels People and the Oregon Business Council. He is also a trustee of Willamette

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How Close Did Iran Come to Shutting Strait of Hormuz?

It appears that Iran was not very close to trying to block shipping through the Strait of Hormuz.  That’s what Edward L. Morse, Senior Advisor and Commodities Strategist at Hartree Partners LP, and previously the Global Head of Commodity Research at Citi Group, told Rigzone in an exclusive interview recently. “Iran’s position in the Middle East and in the global market has deteriorated significantly since the October 7 Hamas attacks in Southern Israel, which Iran with no question helped to orchestrate,” Morse said. “It has lost effective utility of all of its external proxies. It has lost its position in a number of countries almost completely … It has lost its air defense completely. And it … [has] seen its vulnerability to its control over the domestic economy, including the availability of natural gas for power generation and industry as summer demand was starting to surge,” he added. “On top of that the combination of Israeli and particularly U.S. attacks have reduced the possibility of significant assistance from the two outside powers tha[t]… have been their main global backers – Russia and China,” he continued. “The former has limited ability to provide arms given its situation vis-à-vis Ukraine while the later has absolutely no interest in seeing a disruption of critical supplies through the Strait of Hormuz,” Morse went on to state. “In short, a shutting of flows through the Strait would actually be an existential threat to Iran, and a threat to do that is not only not a critical element of its national security, it is a direct danger to its existence,” he highlighted. When asked how high oil prices would have climbed if Iran had shut the Strait, Morse told Rigzone that it is close to impossible to see how much oil prices would have increased had Iran shut

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DNO Signs Offtake Agreement to Supply Norwegian Gas to ENGIE

DNO ASA said its Norwegian operating subsidiaries have entered into an offtake agreement with France’s ENGIE SA for the company’s Norwegian gas production. The offtake agreement covers the entirety of DNO’s Norwegian gas production following its acquisition of Sval Energi Group AS, the company said in a news release. The four-year agreement is effective October 1 and “offers premium pricing,” DNO said. Related to the agreement, DNO said it has entered into an offtake financing facility with an undisclosed U.S. bank for up to $500 million. Under the facility, the bank finances DNO the value of up to 270 days of scheduled gas production based on future gas sales receivables. The all-in interest rate for drawn amounts under the facility is “significantly below” conventional reserve-based lending (RBL) terms available to DNO, with no charges for undrawn amounts, DNO said, adding that there are no financial covenants related to the facility. Proceeds from the offtake financing facility will be used to replace Sval Energi’s existing similar facilities as well as for general corporate purposes, DNO stated. “We have received strong interest by buyers to prepurchase our enlarged North Sea production of 80,000 barrels of oil equivalent per day split about equally between oil and gas,” DNO Executive Chairman Bijan Mossavar-Rahmani said. “These three-way transactions are made possible because buyers are eager to lock in secure supplies of Norwegian oil and gas and U.S. banks, in particular, have significantly stepped up fossil fuel lending,” he added. DNO said it has repaid and will not renew over $ 600 million in RBLs across its North Sea subsidiaries, “given [the] availability of attractive offtake financing terms”. In addition, the company has borrowed $300 million under a one-year bank bridge loan “to add more arrows to our quiver,” Mossavar-Rahmani said. Separately, DNO is also in

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Great British Energy Gets Permanent CEO

A release posted on the UK government website on Monday announced that Dan McGrail has been appointed as the permanent Chief Executive Officer of Great British Energy. McGrail will be based in Scotland, working from the Aberdeen headquarters, on a permanent contract with Great British Energy, the release noted, highlighting that he took up the post of interim CEO in March on secondment from RenewableUK. “His appointment brings world class private sector experience to Great British Energy, with the former Chief Executive of RenewableUK and CEO of Siemens Engines now leading the UK’s publicly owned clean power revolution,” the UK government release stated. “Under his stewardship as interim CEO for the last four months, he has helped rapidly set up the company,” the release added. “This includes announcing GBP 1 billion ($1.36 billion) for Great British Energy to invest in clean energy supply chains such as electric cables and floating offshore wind platforms to ensure the clean energy revolution is built here in Britain,” it continued. In the release, McGrail said, “it is a privilege to take on the CEO role permanently and lead Great British Energy from our Aberdeen HQ at such a pivotal moment”.  “We are already delivering for British people, with schools and hospitals set to benefit from cheaper energy bills,” he added. “We will now focus on scaling up as Britain’s publicly owned energy company, making strategic investments that drive forward the government’s clean power mission and give people a stake in clean energy,” he went on to state. UK Energy Secretary Ed Miliband said in the release, “Dan has been a visionary leader as Great British Energy’s interim CEO and will bring world class private sector experience to our publicly owned clean power company”.  “Great British Energy is at the heart of our clean power mission and Plan for Change and is investing in clean

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Iberdrola Approves Supplemental Dividend for 2024

Iberdrola SA will distribute EUR 0.409 ($0.48) per share as a supplementary dividend for 2024, raising total shareholder remuneration for last year’s results to EUR 0.645 gross per unit. The total 2024 distribution represents a 15.6 percent increase from the previous year, the Spanish multinational power utility said in an online statement. “Investors will have three options: to receive the amount corresponding to their supplementary dividend (EUR 0.409 gross per share) in cash; to sell their rights on the market; or to obtain new bonus shares from the group free of charge”, Iberdrola said. “These three options are not mutually exclusive, so shareholders can choose one of the alternatives or combine them”. Iberdrola had already paid an interim dividend of EUR 0.231 gross per share in January, followed by an “engagement dividend” of EUR 0.005 gross per share that the company pledged for reaching a quorum of 70 percent of its share capital at the meeting of shareholders last May. “Iberdrola is ahead of schedule in meeting its commitment to establish a dividend of between EUR 0.61 and EUR 0.66 per share in 2026”, it said. Iberdrola scheduled July 23 for the release of its results for the first half of 2025. For the first quarter (Q1) it had reported EUR 12.86 billion in revenue, up 1.5 percent from the same three-month period last year. However, net profit fell to EUR 2 billion, or EUR 0,302 per share – compared to EUR 2.76 billion for Q1 2025. Earnings before interest, taxes, depreciation and amortization (EBITDA) dropped from EUR 5.86 billion for Q1 2024 to EUR 4.64 billion for Q1 2025. “Excluding the capital gains from the divestment of thermal generation assets in the first quarter of 2024, net profit increased by 26 percent and EBITDA increased by 12 percent”, Iberdrola said

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CoreWeave acquires Core Scientific for $9B to power AI infrastructure push

Such a shift, analysts say, could offer short-term benefits for enterprises, particularly in cost and access, but also introduces new operational risks. “This acquisition may potentially lower enterprise pricing through lease cost elimination and annual savings, while improving GPU access via expanded power capacity, enabling faster deployment of Nvidia chipsets and systems,” said Charlie Dai, VP and principal analyst at Forrester. “However, service reliability risks persist during this crypto-to-AI retrofitting.” This also indicates that struggling vendors such as Core Scientific and similar have a way to cash out, according to Yugal Joshi, partner at Everest Group. “However, it does not materially impact the availability of Nvidia GPUs and similar for enterprises,” Joshi added. “Consolidation does impact the pricing power of vendors.” Concerns for enterprises Rising demand for AI-ready infrastructure can raise concerns among enterprises, particularly over access to power-rich data centers and future capacity constraints. “The biggest concern that CIOs should have with this acquisition is that mature data center infrastructure with dedicated power is an acquisition target,” said Hyoun Park, CEO and chief analyst at Amalgam Insights. “This may turn out to create challenges for CIOs currently collocating data workloads or seeking to keep more of their data loads on private data centers rather than in the cloud.”

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CoreWeave achieves a first with Nvidia GB300 NVL72 deployment

The deployment, Kimball said, “brings Dell quality to the commodity space. Wins like this really validate what Dell has been doing in reshaping its portfolio to accommodate the needs of the market — both in the cloud and the enterprise.” Although concerns were voiced last year that Nvidia’s next-generation Blackwell data center processors had significant overheating problems when they were installed in high-capacity server racks, he said that a repeat performance is unlikely. Nvidia, said Kimball “has been very disciplined in its approach with its GPUs and not shipping silicon until it is ready. And Dell almost doubles down on this maniacal quality focus. I don’t mean to sound like I have blind faith, but I’ve watched both companies over the last several years be intentional in delivering product in volume. Especially as the competitive market starts to shape up more strongly, I expect there is an extremely high degree of confidence in quality.” CoreWeave ‘has one purpose’ He said, “like Lambda Labs, Crusoe and others, [CoreWeave] seemingly has one purpose (for now): deliver GPU capacity to the market. While I expect these cloud providers will expand in services, I think for now the type of customer employing services is on the early adopter side of AI. From an enterprise perspective, I have to think that organizations well into their AI journey are the consumers of CoreWeave.”  “CoreWeave is also being utilized by a lot of the model providers and tech vendors playing in the AI space,” Kimball pointed out. “For instance, it’s public knowledge that Microsoft, OpenAI, Meta, IBM and others use CoreWeave GPUs for model training and more. It makes sense. These are the customers that truly benefit from the performance lift that we see from generation to generation.”

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Oracle to power OpenAI’s AGI ambitions with 4.5GW expansion

“For CIOs, this shift means more competition for AI infrastructure. Over the next 12–24 months, securing capacity for AI workloads will likely get harder, not easier. Though cost is coming down but demand is increasing as well, due to which CIOs must plan earlier and build stronger partnerships to ensure availability,” said Pareekh Jain, CEO at EIIRTrend & Pareekh Consulting. He added that CIOs should expect longer wait times for AI infrastructure. To mitigate this, they should lock in capacity through reserved instances, diversify across regions and cloud providers, and work with vendors to align on long-term demand forecasts.  “Enterprises stand to benefit from more efficient and cost-effective AI infrastructure tailored to specialized AI workloads, significantly lower their overall future AI-related investments and expenses. Consequently, CIOs face a critical task: to analyze and predict the diverse AI workloads that will prevail across their organizations, business units, functions, and employee personas in the future. This foresight will be crucial in prioritizing and optimizing AI workloads for either in-house deployment or outsourced infrastructure, ensuring strategic and efficient resource allocation,” said Neil Shah, vice president at Counterpoint Research. Strategic pivot toward AI data centers The OpenAI-Oracle deal comes in stark contrast to developments earlier this year. In April, AWS was reported to be scaling back its plans for leasing new colocation capacity — a move that AWS Vice President for global data centers Kevin Miller described as routine capacity management, not a shift in long-term expansion plans. Still, these announcements raised questions around whether the hyperscale data center boom was beginning to plateau. “This isn’t a slowdown, it’s a strategic pivot. The era of building generic data center capacity is over. The new global imperative is a race for specialized, high-density, AI-ready compute. Hyperscalers are not slowing down; they are reallocating their capital to

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Arista Buys VeloCloud to reboot SD-WANs amid AI infrastructure shift

What this doesn’t answer is how Arista Networks plans to add newer, security-oriented Secure Access Service Edge (SASE) capabilities to VeloCloud’s older SD-WAN technology. Post-acquisition, it still has only some of the building blocks necessary to achieve this. Mapping AI However, in 2025 there is always more going on with networking acquisitions than simply adding another brick to the wall, and in this case it’s the way AI is changing data flows across networks. “In the new AI era, the concepts of what comprises a user and a site in a WAN have changed fundamentally. The introduction of agentic AI even changes what might be considered a user,” wrote Arista Networks CEO, Jayshree Ullal, in a blog highlighting AI’s effect on WAN architectures. “In addition to people accessing data on demand, new AI agents will be deployed to access data independently, adapting over time to solve problems and enhance user productivity,” she said. Specifically, WANs needed modernization to cope with the effect AI traffic flows are having on data center traffic. Sanjay Uppal, now VP and general manager of the new VeloCloud Division at Arista Networks, elaborated. “The next step in SD-WAN is to identify, secure and optimize agentic AI traffic across that distributed enterprise, this time from all end points across to branches, campus sites, and the different data center locations, both public and private,” he wrote. “The best way to grab this opportunity was in partnership with a networking systems leader, as customers were increasingly looking for a comprehensive solution from LAN/Campus across the WAN to the data center.”

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Data center capacity continues to shift to hyperscalers

However, even though colocation and on-premises data centers will continue to lose share, they will still continue to grow. They just won’t be growing as fast as hyperscalers. So, it creates the illusion of shrinkage when it’s actually just slower growth. In fact, after a sustained period of essentially no growth, on-premises data center capacity is receiving a boost thanks to genAI applications and GPU infrastructure. “While most enterprise workloads are gravitating towards cloud providers or to off-premise colo facilities, a substantial subset are staying on-premise, driving a substantial increase in enterprise GPU servers,” said John Dinsdale, a chief analyst at Synergy Research Group.

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Oracle inks $30 billion cloud deal, continuing its strong push into AI infrastructure.

He pointed out that, in addition to its continued growth, OCI has a remaining performance obligation (RPO) — total future revenue expected from contracts not yet reported as revenue — of $138 billion, a 41% increase, year over year. The company is benefiting from the immense demand for cloud computing largely driven by AI models. While traditionally an enterprise resource planning (ERP) company, Oracle launched OCI in 2016 and has been strategically investing in AI and data center infrastructure that can support gigawatts of capacity. Notably, it is a partner in the $500 billion SoftBank-backed Stargate project, along with OpenAI, Arm, Microsoft, and Nvidia, that will build out data center infrastructure in the US. Along with that, the company is reportedly spending about $40 billion on Nvidia chips for a massive new data center in Abilene, Texas, that will serve as Stargate’s first location in the country. Further, the company has signaled its plans to significantly increase its investment in Abu Dhabi to grow out its cloud and AI offerings in the UAE; has partnered with IBM to advance agentic AI; has launched more than 50 genAI use cases with Cohere; and is a key provider for ByteDance, which has said it plans to invest $20 billion in global cloud infrastructure this year, notably in Johor, Malaysia. Ellison’s plan: dominate the cloud world CTO and co-founder Larry Ellison announced in a recent earnings call Oracle’s intent to become No. 1 in cloud databases, cloud applications, and the construction and operation of cloud data centers. He said Oracle is uniquely positioned because it has so much enterprise data stored in its databases. He also highlighted the company’s flexible multi-cloud strategy and said that the latest version of its database, Oracle 23ai, is specifically tailored to the needs of AI workloads. Oracle

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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